THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For Fluoride in Stream Water data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey of the Environment (G-BASE) coverage for Fluoride in stream water. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared. Published in Britain beneath our feet atlas.

THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For Arsenic in soil data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey Of The Environment (G-BASE) coverage for arsenic in soil. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared. Published in Britain beneath our feet atlas.

THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For acidity of stream water data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey Of The Environment (G-BASE) coverage for acidity of stream water. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared.

THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For Uranium in stream sediment data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey Of The Environment (G-BASE) coverage for Uranium in stream sediment. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared.

The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. Data collected by this aircraft is stored in the FAAM data archive and includes "core" data, provided by the FAAM as a support to all flight campaigns, and "non-core" data, the nature of which depends on the scientific goal of the campaign. FAAM instruments provide four types of data: - parameters required for aircraft navigation; - meteorology; - cloud physics; - chemical composition. The data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. FAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft. As per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use.

TOPography EXperiment (TOPEX) for ocean circulation (otherwise known as Poseidon) was launched on August 10, 1992 and was a joint satellite mission between NASA, the U.S. space agency, and CNES, the French space agency, to map ocean surface topography. The first major oceanographic research vessel to sail into space, TOPEX/Poseidon helped revolutionise oceanography by proving the value of satellite ocean observations. This dataset collection contains monthly means on a 1x1 latitude/longitude grid for 12 years (1993-2004). The data contains the following parameters: wind speed, squared wind speed, cubed wind speed, wind speed * significant wave height, significant wave height, 1/sigma0(Ku) and gas transfer velocity. The dataset was produced by Fangohr, S. and D.K. Woolf of SOCS, as part of the NERC programme's Centre for observation of Air-Sea Interactions and FluXes (CASIX) and National Centre for Earth Observation (NCEO).

Study of intercontinental transport of air pollutants by means of coordinated flights over the East coast of North America, the Azores and the West coast of Europe. ITOP was a component of the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT), an international initiative which coordinates the efforts of various American and European groups who have developed plans for field campaigns in the summer of 2004, with the aim of improving our understanding of the factors determining air quality over the two continents and over remote regions of the North Atlantic. The British contribution to ITOP, referred to as ITOP-UK, was funded by the Natural Environment Research Council (NERC) through the Upper Troposphere Lower Stratosphere (UTLS)-Ozone Directed Research Programme. The ITOP-UK dataset includes trajectories and other forecast products calculated by John Methven (University of Reading), based on European Centre for Medium-Range Weather Forecasts (ECMWF) forecast wind fields, to support ICARTT flight planning, near-real-time chemical analyses produced by the University of Cambridge, and data collected aboard the FAAM Bae-146 aircraft in July and August 2004.

The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. Data have been collected from the 6th July 2004 to the 29th July 2004 by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.

The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. Data have been collected from the 13th June 2005 to the 25th August 2005 by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.

The University of Wales, Aberystwyth, 1290mhz mobile wind profiler - now referred to as the University of Manchester mobile wind profiler, was operated at the Weybourne Atmospheric Observatory during the 2nd field campaign of the Tropospheric ORganic CHemistry Experiment (TORCH) Project. The TORCH project was part of the Natural Environmental Research Council's (NERC) Polluted Troposphere research programme. The field campaign ran from 22nd April to 28th May 2004, during which period the mobile wind profiler obtained vertical profiles of the horizontal and vertical wind components. For each signal beam profiles of the signal to noise (SNR) ratio and spectral widths were also taken. The data consist of files in the netCDF binary format and plots in PNG format. Data are available to all BADC registered users under the Government Open Data licence.